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elevenlabs_dubbing_project_get

Read-onlyIdempotent

Get Dubbing Project. Full project detail, including its language target ids.

Bulk support: accepts project_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
project_idYes
project_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds useful behavioral context beyond annotations by promising full project detail including language target IDs and by noting bulk execution via project_ids. It does not cover response format details, but annotations lower the bar.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and front-loaded: first the core purpose, then the key return details, then bulk behavior. Every sentence earns its place with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and a low-complexity 3-parameter tool, the description provides a workable overview but is incomplete. It omits the meaning of 'account' and does not clarify how project_ids interacts with project_id or what the bulk response shape looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter meaning. It only clarifies that project_ids enables batched execution; it does not explain the 'account' parameter or the relationship/usage of project_id versus project_ids. This leaves significant semantic gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb+resource pair ('Get Dubbing Project') and adds a clear scope ('Full project detail, including its language target ids'). It is distinct from sibling tools like list/delete operations, making the purpose immediately obvious.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is clear: retrieve a dubbing project's full details, with optional batch support via project_ids. It does not explicitly name alternatives or exclusions, but the context is sufficient for an agent to know when this getter is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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